Create app.py

app.py

@@ -0,0 +1,47 @@
+#!/usr/bin/env python3
+# Copyright (C) 2024-present Naver Corporation. All rights reserved.
+# Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
+#
+# --------------------------------------------------------
+# gradio demo executable
+# --------------------------------------------------------
+import os
+import torch
+import tempfile
+from contextlib import nullcontext
+
+from mast3r.demo import get_args_parser, main_demo
+
+from mast3r.model import AsymmetricMASt3R
+from mast3r.utils.misc import hash_md5
+
+import matplotlib.pyplot as pl
+pl.ion()
+
+torch.backends.cuda.matmul.allow_tf32 = True  # for gpu >= Ampere and pytorch >= 1.12
+
+if __name__ == '__main__':
+    parser = get_args_parser()
+    args = parser.parse_args()
+
+    if args.server_name is not None:
+        server_name = args.server_name
+    else:
+        server_name = '0.0.0.0' if args.local_network else '127.0.0.1'
+
+    if args.weights is not None:
+        weights_path = args.weights
+    else:
+        weights_path = "naver/" + args.model_name
+
+    model = AsymmetricMASt3R.from_pretrained(weights_path).to(args.device)
+    chkpt_tag = hash_md5(weights_path)
+
+    def get_context(tmp_dir):
+        return tempfile.TemporaryDirectory(suffix='_mast3r_gradio_demo') if tmp_dir is None \
+            else nullcontext(tmp_dir)
+    with get_context(args.tmp_dir) as tmpdirname:
+        cache_path = os.path.join(tmpdirname, chkpt_tag)
+        os.makedirs(cache_path, exist_ok=True)
+        main_demo(cache_path, model, args.device, args.image_size, server_name, args.server_port, silent=args.silent,
+                  share=args.share, gradio_delete_cache=args.gradio_delete_cache)